Differing clinical phenotype for higher alanine-aminotransferase (ALT) compared with high-risk NAFLD fibrosis score in type 2 diabetes mellitus

2018 ◽  
Vol 32 (3) ◽  
pp. 321-324 ◽  
Author(s):  
Kathryn H. Williams ◽  
Kharis Burns ◽  
Stephen M. Twigg
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
Alanine Aminotransferase ◽  
Clinical Phenotype ◽  
Fibrosis Score ◽  
Nafld Fibrosis Score

scholarly journals A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at ‘high risk’ of type 2 diabetes

2016 ◽  
Vol 14 (1) ◽  
pp. 47-54 ◽  
Author(s):  
Benjamin J Gray ◽  
Jeffrey W Stephens ◽  
Daniel Turner ◽  
Michael Thomas ◽  
Sally P Williams ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
Risk Score ◽  
Exercise Testing ◽  
Diabetes Risk ◽  
Testing Method ◽  
Metabolic Equivalents

This study examined the relationship between cardiorespiratory fitness determined by a non-exercise testing method for estimating fitness and predicted risk of developing type 2 diabetes mellitus using five risk assessments/questionnaires (Leicester Diabetes Risk Score, QDiabetes, Cambridge Risk Score, Finnish Diabetes Risk Score and American Diabetes Association Diabetes Risk Test). Retrospective analysis was performed on 330 female individuals with no prior diagnosis of cardiovascular disease or type 2 diabetes mellitus who participated in the Prosiect Sir Gâr workplace initiative in Carmarthenshire, South Wales. Non-exercise testing method for estimating fitness (expressed as metabolic equivalents) was calculated using a validated algorithm, and females were grouped accordingly into fitness quintiles <6.8 metabolic equivalents (Quintile 1), 6.8–7.6 metabolic equivalents (Quintile 2), 7.6–8.6 metabolic equivalents (Quintile 3), 8.6–9.5 metabolic equivalents (Quintile 4), >9.5 metabolic equivalents (Quintile 5). Body mass index, waist circumference, and HbA1c all decreased between increasing non-exercise testing method for estimating fitness quintiles ( p < 0.05), as did risk prediction scores in each of the five assessments/questionnaires ( p < 0.05). The proportion of females in Quintile 1 predicted at ‘high risk’ was between 20.9% and 81.4%, depending on diabetes risk assessment used, compared to none of the females in Quintile 5. A calculated non-exercise testing method for estimating fitness <6.8 metabolic equivalents could help to identify females at ‘high risk’ of developing type 2 diabetes mellitus as predicted using five risk assessments/questionnaires.

High risk haemostasis patterns in overweight patients with type 2 diabetes mellitus

2002 ◽  
Vol 49 (3) ◽  
pp. 75-78
Author(s):  
D.A. de Luis ◽  
R. Aller ◽  
L. Cuéllar ◽  
J.I. Tortosa ◽  
E. Romero ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk

scholarly journals Physical activity and lipidomics in a population at high risk of type 2 diabetes mellitus

2020 ◽  
Vol 38 (10) ◽  
pp. 1150-1160
Author(s):  
Joseph Henson ◽  
Charlotte L. Edwardson ◽  
Melanie J. Davies ◽  
Jason M.R. Gill ◽  
Liam M. Heaney ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk

Cardiac and Inflammatory Biomarkers Are Associated with Worsening Renal Outcomes in Patients with Type 2 Diabetes Mellitus: Observations from SAVOR-TIMI 53

2019 ◽  
Vol 65 (6) ◽  
pp. 781-790 ◽  
Author(s):  
Thomas A Zelniker ◽  
David A Morrow ◽  
Ofri Mosenzon ◽  
Yared Gurmu ◽  
Kyungah Im ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Renal Function ◽  
High Risk ◽  
High Sensitivity ◽  
Inflammatory Biomarkers ◽  
P Values ◽  
Hs Crp

Abstract BACKGROUND Cardiac and renal diseases commonly occur with bidirectional interactions. We hypothesized that cardiac and inflammatory biomarkers may assist in identification of patients with type 2 diabetes mellitus (T2DM) at high risk of worsening renal function. METHODS In this exploratory analysis from SAVOR-TIMI 53, concentrations of high-sensitivity cardiac troponin T (hs-TnT), N-terminal pro–B-type natriuretic peptide (NT-proBNP), and high-sensitivity C-reactive protein (hs-CRP) were measured in baseline serum samples of 12310 patients. The primary end point for this analysis was a ≥40% decrease in estimated glomerular filtration rate (eGFR) at end of treatment (EOT) at a median of 2.1 years. The relationships between biomarkers and the end point were modeled using adjusted logistic and Cox regression. RESULTS After multivariable adjustment including baseline renal function, each biomarker was independently associated with an increased risk of ≥40% decrease in eGFR at EOT [Quartile (Q) Q4 vs Q1: hs-TnT adjusted odds ratio (OR), 5.63 (3.49–9.10); NT-proBNP adjusted OR, 3.53 (2.29–5.45); hs-CRP adjusted OR, 1.84 (95% CI, 1.27–2.68); all P values ≤0.001]. Furthermore, each biomarker was independently associated with higher risk of worsening of urinary albumin-to-creatinine ratio (UACR) category (all P values ≤0.002). Sensitivity analyses in patients without heart failure and eGFR &gt;60 mL/min provided similar results. In an adjusted multimarker model, hs-TnT and NT-proBNP remained significantly associated with both renal outcomes (all P values &lt;0.01). CONCLUSIONS hs-TnT, NT-proBNP, and hs-CRP were each associated with worsening of renal function [reduction in eGFR (≥40%) and deterioration in UACR class] in high-risk patients with T2DM. Patients with high cardiac or inflammatory biomarkers should be treated not only for their risk of cardiovascular outcomes but also followed for renal deterioration.

scholarly journals Diabetes risk score in the United Arab Emirates: a screening tool for the early detection of type 2 diabetes mellitus

2018 ◽  
Vol 6 (1) ◽  
pp. e000489 ◽  
Author(s):  
Nabil Sulaiman ◽  
Ibrahim Mahmoud ◽  
Amal Hussein ◽  
Salah Elbadawi ◽  
Salah Abusnana ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
High Risk ◽  
United Arab Emirates ◽  
Risk Score ◽  
Family History Of Diabetes ◽  
Non Invasive

ObjectiveThe objective of this study was to develop a simple non-invasive risk score, specific to the United Arab Emirates (UAE) citizens, to identify individuals at increased risk of having undiagnosed type 2 diabetes mellitus.Research design and methodsA retrospective analysis of the UAE National Diabetes and Lifestyle data was conducted. The data included demographic and anthropometric measurements, and fasting blood glucose. Univariate analyses were used to identify the risk factors for diabetes. The risk score was developed for UAE citizens using a stepwise forward regression model.ResultsA total of 872 UAE citizens were studied. The overall prevalence of diabetes in the UAE adult citizens in the Northern Emirates was 25.1%. The significant risk factors identified for diabetes were age (≥35 years), a family history of diabetes mellitus, hypertension, body mass index ≥30.0 and waist-to-hip ratio ≥0.90 for males and ≥0.85 for females. The performance of the model was moderate in terms of sensitivity (75.4%, 95% CI 68.3 to 81.7) and specificity (70%, 95% CI 65.8 to 73.9). The area under the receiver-operator characteristic curve was 0.82 (95% CI 0.78 to 0.86).ConclusionsA simple, non-invasive risk score model was developed to help to identify those at high risk of having diabetes among UAE citizens. This score could contribute to the efficient and less expensive earlier detection of diabetes in this high-risk population.

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